Assessment of APCC multimodel ensemble prediction in seasonal climate forecasting: Retrospective (1983–2003) and real‐time forecasts (2008–2013)
YM Min, VN Kryjov, SM Oh - Journal of Geophysical Research …, 2014 - Wiley Online Library
Abstract Since 2007, the Asia‐Pacific Economic Cooperation (APEC) Climate Center
(APCC) has monthly issued multimodel ensemble (MME) seasonal predictions for 3 months …
(APCC) has monthly issued multimodel ensemble (MME) seasonal predictions for 3 months …
Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields
This paper introduces a probabilistic approach to spatio-temporal high resolution meso-
scale modeling of near-surface temperature and applies it to regions of dimension about …
scale modeling of near-surface temperature and applies it to regions of dimension about …
Assessment of MME methods for seasonal prediction using WMO LC‐LRFMME hindcast dataset
G Kim, JB Ahn, VN Kryjov, WS Lee… - International Journal …, 2021 - Wiley Online Library
Different multi‐model ensemble (MME) methods were investigated for their potential to
improve the skill of 1‐month lead seasonal forecast products, based on six models from …
improve the skill of 1‐month lead seasonal forecast products, based on six models from …
Skill of real-time operational forecasts with the APCC multi-model ensemble prediction system during the period 2008–2015
YM Min, VN Kryjov, SM Oh, HJ Lee - Climate Dynamics, 2017 - Springer
This paper assesses the real-time 1-month lead forecasts of 3-month (seasonal) mean
temperature and precipitation on a monthly basis issued by the Asia-Pacific Economic …
temperature and precipitation on a monthly basis issued by the Asia-Pacific Economic …
[PDF][PDF] Global and regional skill of the seasonal predictions by WMO Lead Centre for Long-Range Forecast Multi-Model Ensemble.
G Kim, JB Ahn, VN Kryjov, SJ Sohn… - International Journal …, 2016 - researchgate.net
The World Meteorological Organization (WMO) Lead Centre for Long-Range Forecast Multi-
Model Ensemble (WMO LC-LRFMME) has been established to collect and share long-range …
Model Ensemble (WMO LC-LRFMME) has been established to collect and share long-range …
Application of dynamical and statistical downscaling to East Asian summer precipitation for finely resolved datasets
Various downscaling approaches have been developed to overcome the limitation of the
coarse spatial resolution of general circulation models (GCMs). Such techniques can be …
coarse spatial resolution of general circulation models (GCMs). Such techniques can be …
Assessment of prediction and predictability of short rains over equatorial East Africa using a multi-model ensemble
In this study, the performance of dynamical seasonal forecast systems is evaluated for the
prediction of short rain anomalies over equatorial East Africa. The evaluation is based on …
prediction of short rain anomalies over equatorial East Africa. The evaluation is based on …
[PDF][PDF] Development of a multimodel‐based seasonal prediction system for extreme droughts and floods: a case study for South Korea
An experimental, district-level system was developed to forecast droughts and floods over
South Korea to properly represent local precipitation extremes. The system is based on the …
South Korea to properly represent local precipitation extremes. The system is based on the …
Long-lead station-scale prediction of hydrological droughts in South Korea based on bivariate pattern-based downscaling
Capturing climatic variations in boreal winter to spring (December–May) is essential for
properly predicting droughts in South Korea. This study investigates the variability and …
properly predicting droughts in South Korea. This study investigates the variability and …
[PDF][PDF] Statistical downscaling methods based on APCC multi-model ensemble for seasonal prediction over South Korea
S Kang, J Hur, JB Ahn - Int. J. Climatol, 2014 - climate-prediction.org
An investigation was conducted to optimize the application of the multi-model ensemble
(MME) technique for statistical downscaling using 1-to 6-month lead hindcasts obtained from …
(MME) technique for statistical downscaling using 1-to 6-month lead hindcasts obtained from …